Search Results for "dynamicreports-examples" - Page 78
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Showing 3974 open source projects for "dynamicreports-examples"
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Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Geographical Adventures
Geography game about delivering packages
Geographical Adventures is a collection of projects and experiments focused on procedural generation and geographic simulation, showcasing how complex environments can be created through code. It includes implementations of terrain generation, map systems, and spatial algorithms that simulate real-world geographical features. The project is designed as both a learning resource and a demonstration of procedural techniques, allowing users to explore how landscapes and environments can be... -
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nb2mail
Send a notebook as an email
This repo contains a jupyter nbconvert exporter to convert notebooks to multipart MIME, and a postprocessor to send it via smtp. nb2mail does not do anything by itself. It provides an export format ("mail") and postprocessor ("SendMailPostProcessor"). Please see the nbconvert documentation and example configuration for more information. -
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gokv
Simple key-value store abstraction and implementations for Go
Simple key-value store abstraction and implementations for Go. Redis, Consul, etcd, bbolt, BadgerDB, LevelDB, Memcached, DynamoDB, S3, PostgreSQL, MongoDB, CockroachDB, and many more. There are detailed descriptions of the methods in the docs and in the code. You should read them if you plan to write your own gokv.Store implementation or if you create a Go package with a method that takes a gokv.Store as a parameter, so you know exactly what happens in the background. -
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kail
Kubernetes log viewer
Kubernetes tail. Streams logs from all containers of all matched pods. Match pods by service, replicaset, deployment, and others. Adjusts to a changing cluster - pods are added and removed from logging as they fall in or out of the selection. With no arguments, kail matches all pods in the cluster. You can control the matching pods with arguments that select pods based on various criteria. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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CommandDash
AI assist to integrate APIs and SDKs without reading docs
...However integrating them is time-consuming, requiring to manually read docs and copy-paste snippets. CommandDash enables you to skip reading documentation and integrate any API or SDK with an IDE agent up to date with the latest documentation, examples, and issues. -
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Coq Jupyter
Jupyter kernel for Coq
Make sure that CoqIDE (8.6 or newer) is installed and coqidetop or coqidetop.opt (coqtop for Coq versions before 8.9.0) is in your PATH. Also, make sure the python command is recognized on your machine. If not you can set up an alias for it e.g. python-is-python3 on Ubuntu. There are a number of convenience improvements over standard Jupyter notebook behavior that are implemented to support Coq-specific use cases. -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which... -
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Digital Forensics Guide
Learn all about Digital Forensics and Computer Forensics
...It organizes foundational topics such as evidence acquisition, disk and memory analysis, file system structures, network forensics, artifact extraction, timeline generation, and reporting into digestible modules that help build core competency. Alongside conceptual explanations, the guide includes practical examples with widely used tools (like Autopsy, Volatility, Sleuth Kit, and network analysis suites), illustrating how investigations proceed from initial data capture to final analysis. The goal is to provide both a learning path and a quick reference for real-world casework, bridging the gap between academic theory and operational practice. -
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Kompute
General purpose GPU compute framework built on Vulkan
General purpose GPU compute framework built on Vulkan to support 1000s of cross-vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous, and optimized for advanced GPU data processing use cases. Backed by the Linux Foundation. -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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El Monitorro
El Monitorro is a high-performance feed reader as a Telegram bot
El Monitorro is a high-performance RSS/ATOM/JSON feed reader as a Telegram bot. -
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Assembler x86/x86_64/Arm32/Arm64
Assembler for different architectures. Examples.
Rus: Несколько тестовых примеров под архитектуры x86/x86-64/Arm32/Arm64. Используется Linux. Eng: Several test examples for x86/x86-64/Arm32/Arm64 architectures. Used Linux. плейлист (youtube, rutube): https://www.youtube.com/playlist?list=PLKRkz7NEae7EF5wybV2NlNvJ-IcL9lzef https://rutube.ru/plst/758753 Rus: Нужный код найдёте. Либо спросите у меня, если не найдёте. В архиве содержаться файлы "qemu-arm" и "qemu-aarch64" они в архиве под паролем. -
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python-fxxk-spider
Collection of 100+ Python web scraping projects and crawler examples
python-fxxk-spider is a curated collection of Python web scraping and crawler projects gathered in a single repository for reference and learning. It aggregates many independent scraping examples that target a wide range of websites, online services, and public data sources. Instead of being a single crawler tool, it functions as a catalog of ready-made Python spider implementations that demonstrate different scraping techniques. python-fxxk-spider includes scrapers for social media, e-commerce platforms, job listings, music services, video platforms, and various content sites. ... -
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PromptTools
Open-source tools for prompt testing and experimentation
Welcome to prompttools created by Hegel AI! This repo offers a set of open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. The core idea is to enable developers to evaluate using familiar interfaces like code, notebooks, and a local playground. -
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Sql driver mock for Golang
Sql mock driver for golang to test database interactions
...In v1.2.0 sqlmock.Rows has changed to struct from interface, if you were using any type references to that interface, you will need to switch it to a pointer struct type. Also, sqlmock.Rows were used to implement driver.Rows interface, which was not required or useful for mocking and was removed. Visit godoc for general examples and public api reference. See .travis.yml for supported go versions. Different use case, is to functionally test with a real database - go-txdb all database-related actions are isolated within a single transaction so the database can remain in the same state. -
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Graphtage
A semantic diff utility and library for tree-like files such as JSON
Graphtage is a command-line utility and underlying library for semantically comparing and merging tree-like structures, such as JSON, XML, HTML, YAML, plist, and CSS files. Its name is a portmanteau of “graph” and “graftage”, the latter being the horticultural practice of joining two trees together such that they grow as one. Graphtage performs an analysis on an intermediate representation of the trees that is divorced from the filetypes of the input files. This means, for example, that you... -
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CSharpMath
LaTeX. in C#. (ported from the wonderful iosMath project)
CSharpMath is a C# port of the wonderful iosMath LaTeX engine. iOS (CSharpMath.Ios) was ironically the first front end, which was added in v0.0. Xamarin.Forms (CSharpMath.Forms) support via SkiaSharp (CSharpMath.SkiaSharp) was added in v0.1 as development continued. Avalonia (CSharpMath.Avalonia) support was also added in v0.4. -
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InteractiveErrors.jl
Interactive error messages for the Julia REPL
Interactive error messages for the Julia REPL. Just start using your REPL normally. Once you hit an error you'll be presented with an interactive tree representing your stacktrace which you can explore. To turn interactive errors off and return to using normal stack traces call toggle(). Call toggle() again to turn it back on. Press up and down arrows to move through the stacktrace. Press space to fold or unfold the currently selected line. A + will appear on folded lines. Press enter once... -
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BackgroundMattingV2
Real-Time High-Resolution Background Matting
Official repository for the paper Real-Time High-Resolution Background Matting. Our model requires capturing an additional background image and produces state-of-the-art matting results at 4K 30fps and HD 60fps on an Nvidia RTX 2080 TI GPU. -
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xtd
Modern C++20 framework to create console, GUI and unit tests.
... • Website : https://gammasoft71.github.io/xtd/ • Sources : https://github.com/gammasoft71/xtd • Reference guide : https://gammasoft71.github.io/xtd/reference_guides/latest/index.html • Install : https://gammasoft71.github.io/xtd/docs/downloads • Portability : https://gammasoft71.github.io/xtd/docs/documentation/portability • Examples : https://github.com/gammasoft71/xtd/tree/master/examples/README.md -
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Mixtral offloading
Run Mixtral-8x7B models in Colab or consumer desktops
...By selectively loading and caching the required experts, the system avoids keeping the entire model in GPU memory at once. The repository includes notebooks and code examples that demonstrate how to run large language models on consumer hardware such as personal GPUs or cloud notebook environments. -
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Jupyter Notebook Viewer
A Jupyter notebook viewer for macOS
A native macOS application to view Jupyter/IPython notebooks. -
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pattern_classification
A collection of tutorials and examples for solving machine learning
The pattern_classification repository is an educational project that provides tutorials, examples, and reference materials related to machine learning and statistical pattern recognition. The project aims to help learners understand the process of building predictive models by presenting structured explanations and practical examples. It includes notebooks and guides that demonstrate data preprocessing, feature extraction, model training, and evaluation techniques used in machine learning workflows. ... -
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FrenchKiss.js
The blazing fast lightweight internationalization (i18n) module
FrenchKiss.js is a blazing fast lightweight i18n library written in JavaScript, working both in the browser and NodeJS environments. It provides a simple and really fast solution for handling internationalization. FrenchKiss is by now, the fastest i18n JS package out there, working 5 to 1000 times faster than any others by JIT compiling the translations, try it by running the benchmarks. -
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Awesome Kotlin Multiplatform
An awesome list that curates the best Kotlin Multiplatform libraries,
Kotlin Multiplatform technology simplifies the development of cross-platform projects. It reduces time spent writing and maintaining the same code for different platforms while retaining the flexibility and benefits of native programming. This list contains libraries which support iOS and Android targets in first place. -
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PyCall.jl
Package to call Python functions from the Julia language
Package to call Python functions from the Julia language. This package provides the ability to directly call and fully interoperate with Python from the Julia language. You can import arbitrary Python modules from Julia, call Python functions (with automatic conversion of types between Julia and Python), define Python classes from Julia methods, and share large data structures between Julia and Python without copying them.
